AI Infrastructure Engineer, MLOps

Job overview

The AI Infrastructure Engineer, MLOps role is onsite in the San Francisco Bay Area, CA, with compensation of $50–$60 per hour. The role supports Eitacies’ large-scale AI and machine-learning platforms in cloud-native environments. The engineer builds and operates scalable infrastructure and MLOps workflows, helping engineering teams deploy, monitor, and operationalize AI systems. The work strengthens platform reliability, scalability, and performance for production workloads.

What you'll do

• Design, deploy, and support scalable AI/ML infrastructure
• manage Kubernetes environments running in AWS EKS
• build and maintain automation using Python and Ansible
• support model deployment, monitoring, and operationalization
• troubleshoot Linux production environments
• improve platform reliability, scalability, and performance with engineering teams
• implement observability and monitoring practices
• support modern AI architectures and agent-based workflows.

What we're looking for

Skills & competencies

full-time

onsite

ai infrastructure

mlops

kubernetes

aws eks

python

ansible

linux

san francisco bay area ca

eitacies

$50–$60/hr

Work arrangement

• Weekend coverage required

Why this role

Onsite role; requires 10+ years of Linux and Python experience and 5+ years each of Kubernetes, AWS/EKS, and Ansible experience; MLOps and agentic AI experience preferred.

About the employer

Eitacies Inc is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.